JOB LEVEL
P55
ADDITIONAL JOB LEVELS
P50
-
EMPLOYEE ROLE
Individual Contributor
Our Company
Changing the world through digital experiences is what Adobe’s all about. We provide everyone—from emerging artists to global brands—the tools they need to craft and deliver exceptional digital experiences! We’re passionate about empowering people to build beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every medium.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new insights can come from anywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.
At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models. This is an opportunity to reach millions of creatives, helping them reinvent the way they work.
What you will Do
• Design, develop, and maintain robust AI/ML infrastructure solutions to support the training and deployment of large-scale AI models, using Kubernetes and Python on AWS cloud
• Implement and optimize distributed training frameworks leveraging GPUs to improve performance and scalability. Improve resiliency, elasticity, data loading and provide out-of-the-box support for GPU optimization methods such as FP8, FSDP and model parallelism
• Write high quality, product level code that is easy to maintain and test following standard methodologies
• Collaborate closely with ML Researchers and Machine Learning Engineers to accelerate the training of the cutting-edge ML models
• Keep track of the latest innovation in academia and open-source community to implement rapid adoption of pioneering technologies to improve the performance of the ML platform
• Help train better models by improving orchestration and scheduling, scaling the number of jobs, faster experimentation with AutoML and similar
• Collaborate with data scientists and ML researchers to streamline the model training pipeline and ensuring efficient resource utilization
• Drive innovation in infrastructure practices to support pioneering machine learning research and development
What you need to succeed
• PhD or Master’s in computer science or related field and 5+ years relevant industry experience.
• Proven proficiency with Python and developing systems, frameworks and SDKs
• Experience with infrastructure and understanding of model serving, training, orchestration, and management of GPU resources
• Experience with machine learning and distributed Pytorch
• Strong critical thinking, analytical and quantitative problem-solving ability
• Excellent communication, relationship skills and a strong teammate
While not required, it’s an added plus if you also have:
• Experience with KubeFlow, MLFlow, Ray, SageMaker, or similar
• Experience with Nvidia HPC
• Experience with Pytorch distributed, MPI, Megatron, Horovod and other AI training frameworks
#FireflyGenAI
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $170,900 -- $325,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
Put your best foot forward:
1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.
2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.
3. Check out these tips to help you prep for interviews.
4. If you are applying for a role outsid
Location: San Jose, CA (+2 others)
Posted: Aug. 9, 2024, 9:13 a.m.
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